Principal AI Engineer - Enterprise Transformation

Taxwell is a leading digital tax filing platform formed from the combination of Drake Software and TaxAct, offering professional and do-it-yourself digital products. They are seeking a Principal AI Engineer to lead the architecture and development of AI-powered systems, translating emerging AI capabilities into secure, scalable production systems with measurable business impact.

Responsibilities:

• Architect and scale AI-powered applications supporting engineering, operations, support, tax, compliance, analytics, and other internal functions
• Build shared AI infrastructure and reusable components that enable safe, efficient AI adoption across teams
• Design and operate RAG systems grounded in internal documentation, proprietary knowledge, and structured data
• Embed AI into existing customer products to improve personalization, accuracy, and user outcomes
• Lead development of AI-native products where intelligent systems are core to the experience
• Implement agent-based and workflow-driven systems using frameworks such as LangChain, LangGraph, ADK, or similar
• Evaluate and integrate commercial and open-weight LLMs based on performance, cost, and compliance needs
• Establish best practices for prompt engineering, evaluation, monitoring, and guardrails
• Partner with platform, DevOps, and security teams to ensure scalability, reliability, and compliance
• Measure system effectiveness through telemetry, experimentation, and user feedback

Requirements:

• 10+ years of software engineering experience, including 3+ years at the Principal or Staff level with architectural ownership
• Proven experience building and deploying production AI systems used by real users
• Strong hands-on experience with LLM systems, including prompt engineering, RAG, and agent orchestration
• Proficiency in Python and/or TypeScript
• Experience integrating AI into real-world applications, APIs, and enterprise data systems
• Familiarity with vector databases and embeddings (e.g., Pinecone, FAISS, Chroma)
• Experience deploying and operating systems in AWS
• Strong architectural judgment balancing experimentation with production rigor
• Experience building internal AI platforms, shared services, or enterprise copilots
• Experience delivering customer-facing AI features at scale
• Background in regulated industries (fintech, tax, healthcare)
• Experience fine-tuning or adapting open-weight LLMs (e.g., GPT-OSS-120B, Mistral 3, GLM-4.7)